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Coding Comparison

Devin vs Factory Droids: Autonomous Coding Agent Head-to-Head

Two autonomous coding agents pitching the same job at the same $20 entry price. We compared Devin and Factory's Droids on published benchmarks, surface coverage, pricing predictability, and enterprise posture.

Lead Benchmark Analyst Updated June 25, 2026 7 rounds scored
Factory Droids
Factory
83
5 of 7 rounds
Round leader
VS
Devin
Cognition
80
2 of 7 rounds
The Verdict

Factory's Droids take the overall by a three-point margin on the strength of a published Terminal Bench result, multi-surface coverage (CLI, IDE, Slack, Linear, browser, Desktop, SDK), model-agnostic routing with BYOK, and a flat-tier pricing ladder that's easier to budget than Devin's ACU meter. Devin wins the rounds that matter for asynchronous, long-horizon delegation: a documented Nubank-scale migration case study, a published SWE-Bench Verified figure, and the more polished hands-off cloud workflow. For teams that want an autonomous agent embedded in their existing tooling on a predictable monthly bill, Droids is the higher-scoring default. For teams running large, well-scoped backlogs of bounded tickets and willing to absorb ACU variability, Devin is the more defensible pick.

Devin and Factory's Droids are sold for the same job: an autonomous AI software engineer that takes a ticket, plans the work, edits files, runs tests, and opens a pull request without a human approving every step. Both start at $20/month for an individual paid plan as of June 2026, so the buying decision isn't a sticker-price comparison. It's about which tool produces better measured results on the work an engineering team actually delegates.

Every round below names the concrete procedure behind it. Benchmark rounds reference the public leaderboards each vendor cites. Pricing rounds are read off each vendor's published plans and metering documentation. Surface and integration rounds are scored against each vendor's documentation as of the test date.

Round by round
Test category Winner Result & method
Published benchmark score Factory Droids Factory has a current, top-ranked third-party leaderboard result on the board: Droid (Claude Opus 4-1) and Droid (GPT-5) ranked #1 and #3 on Terminal-Bench at 58.8% and 52.5% task success on September 24, 2025, with a later 63.1% Terminal Bench score cited in December 2025. Cognition's most recent published SWE-Bench Verified figure for Devin 2.0 is 45.8% in a standard unassisted evaluation. The two benchmarks measure different things (Terminal-Bench is end-to-end shell tasks, SWE-Bench Verified is real GitHub issues), but Factory takes the round on having a current, top-of-leaderboard external number, while Cognition's headline benchmark sits below the frontier model field on SWE-Bench Verified. How we measured it: Read each vendor's most recent publicly cited agent benchmark result and the conditions under which it was reported. Devin's figure is Cognition's reported SWE-Bench Verified score for Devin 2.0 in a single-agent, no-best-of-N evaluation. Factory's figure is the Terminal-Bench public leaderboard entry for Droid on the September 24, 2025 ranking and a later December 2025 result.
Long-horizon autonomous delegation Devin Cognition publishes a Nubank case study in which Devin handled a migration of an 8-year-old, multi-million-line ETL monolith involving roughly 100,000 data class implementations, delivering an 8–12x faster migration and approximately 20x cost savings versus the manual baseline that would have required over 1,000 engineers across 18 months. Factory's Missions feature targets the same long-horizon use case, and the company cites enterprise deployments at Nvidia, Adobe, EY, Morgan Stanley, MongoDB, and Bayer, but Factory's own docs label Missions a research preview with parallelization, cost-quality, and long-horizon error accumulation still being tuned. Devin wins on the documented at-scale outcome. How we measured it: Audited each vendor's published customer case studies and product documentation for evidence of multi-day, multi-task autonomous runs at scale, and weighted documented outcome metrics (engineering hours saved, completion rates) over marketing claims.
Surface coverage Factory Droids Factory exposes Droids across CLI, VS Code and JetBrains IDEs, a Desktop app launched in April 2026, browser/web, Slack, Linear, and an SDK for headless execution and CI/CD embedding. Devin's surfaces are the web app, Slack integration, Devin Desktop (the rebranded Windsurf IDE that Cognition acquired in July 2025), GitHub, Linear, and a Devin API. Both are multi-surface, but Factory's SDK and Droid Computers cloud sandboxes give it a broader programmatic footprint, and the round goes to Factory on the count of supported surfaces. How we measured it: Counted the distinct first-party surfaces each vendor ships an agent into, per each vendor's documentation as of June 2026: CLI, IDE plugins, desktop app, web app, Slack, project-tool integrations, SDK/headless.
Model flexibility Factory Droids Factory's Droid is model-agnostic with a /model slash command to switch providers mid-session, plus a multi-provider roster covering Claude Opus and Sonnet variants, GPT-5, Gemini, and a Droid Core pool of open-weight models that runs at no additional cost when premium-model rate limits are exhausted. BYOK is supported for Anthropic, OpenAI, OpenRouter, Fireworks, Groq, Ollama, and any OpenAI-compatible endpoint. Devin runs on a proprietary Cognition model that has not been disclosed and does not expose comparable user-selectable model routing. For teams that want to route by cost or capability, Factory wins this round decisively. How we measured it: Compared the model lineup and bring-your-own-key options each vendor documents on its model and pricing pages.
Pricing predictability Factory Droids Factory's self-serve ladder is Pro at $20/month, Plus at $100/month, and Max at $200/month, with Teams and Enterprise sales-led. Usage is metered against rolling 5-hour, 7-day, and 30-day rate limits with optional prepaid Extra Usage that rolls over. Devin's self-serve ladder now lists Free, Pro at $20, Max at $200, and Teams at $80/month plus $40 per seat, with Enterprise billed in Agent Compute Units at the order-form rate. Core-tier work bills at $2.25 per ACU on top of the $20 base, where one ACU is approximately 15 minutes of active work. Both tiers exist, but a moderate-usage month on Devin Core can run $70–$220 once ACU charges are added, and Cognition itself flags that ACU consumption is hard to predict on open-ended tasks. Factory's flat-tier ladder with rollover credits is the more budgetable model. How we measured it: Compared each vendor's published self-serve tiers and consumption metering. Modeled a moderate-usage month against each tier and flagged where overage billing creates budget variance.
Enterprise compliance Devin Devin publishes SOC 2 and ISO 27001, with Enterprise offering VPC deployment, SAML/OIDC SSO, teamspace isolation, and a dedicated account team. Factory publishes SOC 2 Type II, GDPR, ISO 42001, and CCPA, with Enterprise offering on-premise deployment, dedicated compute with a partitioned inference pool, and Zero Data Retention on Teams. Coverage is comparable, but Devin's ISO 27001 plus published VPC deployment and a documented EY-scale rollout (Factory itself cites EY deploying to over 5,000 engineers, but that data point is a Factory customer) give Devin the narrower round on the breadth of regulated-industry credentials in 2026. Buyers in regulated industries should re-verify the current certification list with both vendors before procurement. How we measured it: Compared each vendor's published trust/security and enterprise-plan pages as of June 2026 for certifications and deployment options.
Workflow integration Factory Droids Factory ships first-party integrations with GitHub, GitLab, Jira, Linear, Notion, Sentry, PagerDuty, and Slack, with task delegation possible from any of those surfaces. Devin integrates natively with Slack, GitHub, Linear, and Jira, with the API available for additional automation. Both cover the core trio of issue tracker, source control, and chat, but Factory's broader native coverage, particularly Sentry and PagerDuty for incident-triggered work, wins the round. How we measured it: Counted the published first-party integrations with engineering workflow tools (issue trackers, chat, observability, source control) on each vendor's documentation and integrations page.
Analysis

Devin and Factory’s Droids are pitched at the same buyer: an engineering team that wants to delegate well-scoped tickets to an autonomous agent and review pull requests rather than write the code. They now share the same $20 entry price on their paid individual tier, so the comparison reduces to which tool produces better measured results on the work a team actually hands off.

Reading the result

The overall margin is three points, and the round breakdown is what matters. Factory took four of seven rounds (benchmark score, surface coverage, model flexibility, and pricing predictability) on a multi-surface architecture where agents are accessible from Desktop, CLI, and SDK and on its top position on Terminal Bench. Devin took the long-horizon delegation round on the strength of a documented Nubank-scale outcome, and the enterprise-compliance round on the breadth of its published certifications and VPC deployment posture. Workflow integration broke for Factory on the strength of its incident-tool coverage.

How to map the rounds to a buying decision

If your work is a steady stream of well-defined bug tickets and small features, and you want to fire-and-forget them to a cloud agent while you sleep, Devin’s asynchronous delegation is the more relevant signal. Cognition reports that Devin delivered an 8–12x faster migration for Nubank, with engineers achieving a 12x efficiency improvement in engineering hours saved and over 20x cost savings on the project. That is the largest published outcome metric from either vendor and the cleanest evidence that the autonomous model works at scale on the right shape of task.

If your team works across CLI, IDE, Slack, and Linear and wants an agent that lives where the work already happens, Factory’s surface count is the deciding factor. Droids are available with any model, in any interface, including CLI, IDE, Slack, Linear, and browser, with tasks delegable from any of those surfaces, and the Desktop App launched in April 2026 as the latest product surface.

If your priority is model routing (cheap open-weight models for boilerplate, frontier models for architecture), Factory’s BYOK posture is the deciding factor. Droid is model-agnostic, with a /model slash command that lets users switch providers mid-session and a multi-provider roster with usage multipliers that scale against included plan credits. Devin runs on Cognition’s proprietary stack and does not currently expose comparable routing.

On the benchmark gap

Both vendors lean on third-party leaderboards, but the numbers measure different things and should not be summed. Factory’s entries, Droid (Claude Opus 4-1) and Droid (GPT-5), ranked #1 and #3 on Terminal-Bench at 58.8% and 52.5% task-success respectively, on a benchmark that tests end-to-end, multi-step workflows in a live shell. Devin 2.0 scores 45.8% on SWE-Bench Verified in a standard single-agent, no-human-in-the-loop, no best-of-N evaluation that Cognition runs.

The two benchmarks measure overlapping but distinct capabilities (shell-task completion versus closed-issue patch success on Python repos), so the headline numbers aren’t directly comparable. What is comparable is the leaderboard position: as of April 2026, the public SWE-Bench Verified leaderboard shows Anthropic’s Claude Opus 4.6 at 80.8% and Claude Sonnet 4.6 at 79.6%, with OpenAI’s coding models trailing at 77.2%. That puts Devin’s 45.8% below the frontier-model field while Factory holds the top Terminal-Bench position. That’s the substance behind the benchmark-round win, not a claim that Factory’s underlying model is stronger.

On price parity at $20 and the meter underneath

The $20 entry tier is genuinely the same number on both products. The cost behavior past that point isn’t. Devin starts at $20/month for the Core plan plus $2.25 per ACU, the Team plan costs $500/month with 250 ACUs included, and an ACU represents approximately 15 minutes of active Devin work. ACU billing, where every task consumes compute credits, is the number that actually runs the budget, and that meter makes costs genuinely hard to predict for teams with variable workloads.

Factory’s ladder is flat. Factory has raised $220M at a $1.5B valuation, and its self-serve tiers are Pro $20/mo, Plus $100/mo, and Max $200/mo. Extra Usage is prepaid credits that let users keep working after included usage is exhausted, pay-as-you-go with a $10 minimum, and Standard Usage is always consumed first. The practical consequence: a Factory customer on Plus or Max knows the ceiling. A Devin customer on Core does not.

On enterprise posture and trajectory

Both vendors are well-funded and have momentum. Factory is the agent-native software development platform built around Droids, founded in 2023 by Matan Grinberg and Eno Reyes, and has raised $220 million across five funding rounds, reaching a $1.5 billion valuation after a $150 million Series C led by Khosla Ventures in April 2026 with participation from Sequoia Capital, Insight Partners, Blackstone, NEA, and Mantis VC. Droids are used daily by hundreds of thousands of developers across enterprises including Nvidia, Adobe, EY, Palo Alto Networks, Adyen, Morgan Stanley, MongoDB, Bayer, and Zapier, and Factory has doubled revenue month over month for six consecutive months.

Cognition’s trajectory took a different turn in 2025. Cognition acquired Windsurf in July 2025, and the Devin self-serve lineup now reads Free, Pro $20/mo, Max $200/mo, Teams $80/mo, and Enterprise custom. That makes Devin a two-product company (the autonomous cloud agent plus the Devin Desktop IDE) sold under a single subscription, which is a different bet than Factory’s surface-agnostic, model-agnostic platform.

For most teams the decision isn’t about the company trajectory. It’s about whether the workload looks more like Nubank’s migration backlog (Devin) or like a steady stream of tickets routed from Linear, Sentry, and Slack across mixed editors (Factory). The seven rounds above are the inputs to that call.

Sources
The Analyst
Priya Raman
Lead Benchmark Analyst

Priya Raman runs the Top AI Tracker test bench. She designs the scoring rubrics, sets the weightings for each category, and signs off on every published score. Her background is in systems evaluation and reproducible measurement.